Respuesta :
Answer:
We need to remember that we have independent events when a given event is not affected by previous events, and we can verify if two events are independnet with the following equation:
[tex] P(A \cap B) = P(A) *P(B)[/tex]
For this case we have that:
[tex] P(A) *P(B) = 0.01*0.02= 0.0002[/tex]
And we see that [tex] 0.0002 \neq P(A \cap B)[/tex]
So then we can conclude that the two events given are not independent and have a relationship or dependence.
Step-by-step explanation:
For this case we can define the following events:
A= In a certain computer a memory failure
B= In a certain computer a hard disk failure
We have the probability for the two events given on this case:
[tex] P(A) = 0.01 , P(B) = 0.02[/tex]
We also know the probability that the memory and the hard drive fail simultaneously given by:
[tex] P(A \cap B) = 0.0014[/tex]
And we want to check if the two events are independent.
We need to remember that we have independent events when a given event is not affected by previous events, and we can verify if two events are independnet with the following equation:
[tex] P(A \cap B) = P(A) *P(B)[/tex]
For this case we have that:
[tex] P(A) *P(B) = 0.01*0.02= 0.0002[/tex]
And we see that [tex] 0.0002 \neq P(A \cap B)[/tex]
So then we can conclude that the two events given are not independent and have a relationship or dependence.